Answer:
a
The null hypothesis is
The alternative hypothesis is
b
The sample proportion is
Step-by-step explanation:
From the question we are told that
The sample size is n = 546
The number of people that use a laptop overnight is
The population proportion is
Generally
The null hypothesis is
The alternative hypothesis is
Gnerally the sample proportion is mathematically represented as
=>
=>
Answer:
The 95% confidence interval for the population proportion is (0.1456, 0.2344). This means that we are 95% sure that the true proportion of employed American who say that they would fire their boss if they could is between 0.1456 and 0.2344.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of , we have the following confidence interval of proportions.
In which
z is the zscore that has a pvalue of .
For this problem, we have that:
95% confidence level
So , z is the value of Z that has a pvalue of , so .
The lower limit of this interval is:
The upper limit of this interval is:
The 95% confidence interval for the population proportion is (0.1456, 0.2344). This means that we are 95% sure that the true proportion of employed American who say that they would fire their boss if they could is between 0.1456 and 0.2344.
Answer: Use all numbers to add.
2918+49=2967
Estimated.... 2918+49 ≈ 3050
Hope this helps you out.